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A Survey on Dialogue Systems: Recent Advances and New Frontiers
Hongshen Chen, Xiaorui Liu, Dawei Yin +1
Dialogue systems have attracted more and more attention. Recent advances on dialogue systems are overwhelmingly contributed by deep learning techniques, which have been employed to…
Signed Node Relevance Measurements
Tyler Derr, Chenxing Wang, Suhang Wang +1
In this paper, we perform the initial and comprehensive study on the problem of measuring node relevance on signed social networks. We design numerous relevance measurements for si…
Preserving Local and Global Information for Network Embedding
Yao Ma, Suhang Wang, ZhaoChun Ren +2
Networks such as social networks, airplane networks, and citation networks are ubiquitous. The adjacency matrix is often adopted to represent a network, which is usually high dimen…
Signed Network Modeling Based on Structural Balance Theory
Tyler Derr, Charu Aggarwal, Jiliang Tang
The modeling of networks, specifically generative models, have been shown to provide a plethora of information about the underlying network structures, as well as many other benefi…
Fake News Detection on Social Media: A Data Mining Perspective
Kai Shu, Amy Sliva, Suhang Wang +2
Social media for news consumption is a double-edged sword. On the one hand, its low cost, easy access, and rapid dissemination of information lead people to seek out and consume ne…
Attributed Network Embedding for Learning in a Dynamic Environment
Jundong Li, Harsh Dani, Xia Hu +3
Network embedding leverages the node proximity manifested to learn a low-dimensional node vector representation for each node in the network. The learned embeddings could advance v…
Understanding and Predicting Delay in Reciprocal Relations
Jundong Li, Jiliang Tang, Yilin Wang +3
Reciprocity in directed networks points to user's willingness to return favors in building mutual interactions. High reciprocity has been widely observed in many directed social me…